Machine Learning Engineer Salary
in Austin, TX
Build and deploy machine learning models and AI systems at production scale. Median salary in Austin: $168K/year. Data from BLS, O*NET, and H-1B disclosures.
Salary range in Austin
Source: BLS OES 2026, H-1B DOL Disclosures Q1 2026. Figures represent annual base salary in Austin, Texas.
Key facts for Austin
Salary forecast: Austin Machine Learning Engineer to 2030
Based on BLS 2022–2032 Employment Projections and WEF Future of Jobs Report 2025. At current growth rates, median salary reaches $238K by 2030.
Full salary breakdown & negotiation guide
Unlock the full salary report + negotiation email template
Enter your email for free access. We'll send salary market updates — unsubscribe anytime.
No spam. Unsubscribe anytime.
Machine Learning Engineer Salary in Austin, Texas: Complete Guide (2026)
The median Machine Learning Engineer salary in Austin, TX is $168,000 per year as of Q1 2025. This figure represents the midpoint of all reported compensation for this role in the Austin–TX metropolitan area, based on data from the Bureau of Labor Statistics Occupational Employment Statistics, H-1B visa disclosures from the Department of Labor, and O*NET occupational data.
Salary range for Machine Learning Engineer in Austin
Entry-level Machine Learning Engineers in Austin with 0–2 years of experience typically earn between $125,000 and $168,000 annually. Mid-career professionals with 3–7 years command $168,000 to $215,000, while senior-level practitioners with 8+ years of experience regularly earn $215,000 to $275,000 or more.
Cost of living in Austin for Machine Learning Engineers
Austin has a cost of living index of 110 compared to the US national average of 100. Living costs in Austin are close to the national average. Crucially, Texas has no state income tax — giving Austin-based Machine Learning Engineers an immediate 5–7% take-home pay advantage over workers in states like California (9.3%) or New York (6.85%).
Education requirements for Machine Learning Engineer
Master's or PhD in CS, Mathematics, or related. This role is 70% remote-eligible nationally, which can significantly expand the job market for Austin-based professionals.